Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
# extracting the data from 2007
df_2007 = df[
(df['year'] == 2007)
]
# Labels of the continents
continents_2007 = df_2007.groupby('continent',as_index=False)
# Create a bar chart using Plotly Express
fig = px.bar(continents_2007.sum(), x="pop", y="continent", orientation='h',color="continent", text="pop")
fig.update_layout(showlegend=False)
# Using the layout of the example plot
fig.update_layout(yaxis = {'categoryorder':'category descending'})
fig.update_layout(yaxis = dict(title = 'continent'))
fig.update_layout(xaxis = dict(title = 'pop'))
# YOUR CODE HERE
# YOUR CODE HERE
fig.update_layout(yaxis = {'categoryorder':'total ascending'})
Add text to each bar that represents the population
fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')
# YOUR CODE HERE
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
# Filtering of the dataset
df_continents = df.groupby(['continent','year'], as_index=False)
df_continents.sum()
# Plot
fig = px.bar(df_continents.sum(),x="pop", y="continent", orientation='h',
color="continent", animation_frame="year", animation_group="continent",
range_x=[0, 4000000000])
fig.update_layout(showlegend = False)
fig.update_layout(yaxis = {'categoryorder':'total ascending'})
fig.show()
# YOUR CODE HERE
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
fig = px.bar(df,x="pop", y="country", orientation='h',
color="country", animation_frame="year",range_x = [0, 1500000000])
fig.update_layout(showlegend = False)
fig.update_layout(yaxis = {'categoryorder':'total ascending'})
fig.show()
# YOUR CODE HERE
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
fig.update_layout(height = 1000)
# YOUR CODE HERE
range_countries = len(df['country'].unique())
fig.update_yaxes(range=[range_countries-10.5, range_countries-0.5])
fig.update_layout(height = None)
# YOUR CODE HERE